code: def test_model_config(
      quantile_levels, intervals, forecast_keys, statsforecast_keys
  ):
      config = ModelConfig(quantile_levels=quantile_levels)
      assert config.intervals == intervals
      assert config.forecast_keys == forecast_keys
      assert config.statsforecast_keys == statsforecast_keys
  
file_path: gluonts/test/ext/statsforecast/test_statsforecast.py
imports: from pathlib import Path
  from tempfile import TemporaryDirectory
  import pandas
  import pytest
  import numpy
  from gluonts.dataset import Dataset
  from gluonts.model import Predictor, QuantileForecast
  from gluonts.ext.statsforecast import ModelConfig, StatsForecastPredictor, ADIDAPredictor, AutoARIMAPredictor, AutoCESPredictor, AutoETSPredictor, AutoThetaPredictor, CrostonClassicPredictor, CrostonOptimizedPredictor, CrostonSBAPredictor, DynamicOptimizedThetaPredictor, DynamicThetaPredictor, HistoricAveragePredictor, HoltPredictor, HoltWintersPredictor, IMAPAPredictor, MSTLPredictor, NaivePredictor, OptimizedThetaPredictor, RandomWalkWithDriftPredictor, SeasonalExponentialSmoothingOptimizedPredictor, SeasonalExponentialSmoothingPredictor, SeasonalNaivePredictor, SeasonalWindowAveragePredictor, SimpleExponentialSmoothingOptimizedPredictor, SimpleExponentialSmoothingPredictor, TSBPredictor, ThetaPredictor, WindowAveragePredictor
label_desc: Use image node_id 1 for calling a global function with example usage: test_model_config(quantile_levels, intervals, forecast_keys, statsforecast_keys) without return types